| Relaxed Equivariance via Multitask Learning | Oct 23, 2024 | Inductive Bias | —Unverified | 0 |
| Remixers: A Mixer-Transformer Architecture with Compositional Operators for Natural Language Understanding | Sep 17, 2021 | Inductive BiasNatural Language Understanding | —Unverified | 0 |
| REMuS-GNN: A Rotation-Equivariant Model for Simulating Continuum Dynamics | May 5, 2022 | Inductive Bias | —Unverified | 0 |
| Representational Alignment with Chemical Induced Fit for Molecular Relational Learning | Feb 7, 2025 | Inductive BiasRelational Reasoning | —Unverified | 0 |
| Repurposing Decoder-Transformer Language Models for Abstractive Summarization | Sep 1, 2019 | Abstractive Text SummarizationDecoder | —Unverified | 0 |
| Residual ANODE | Dec 18, 2023 | Anomaly DetectionInductive Bias | —Unverified | 0 |
| ResNets Are Deeper Than You Think | Jun 17, 2025 | Inductive Bias | —Unverified | 0 |
| The Power of Linear Combinations: Learning with Random Convolutions | Jan 26, 2023 | Image ClassificationInductive Bias | —Unverified | 0 |
| Rethinking Query, Key, and Value Embedding in Vision Transformer under Tiny Model Constraints | Nov 19, 2021 | image-classificationImage Classification | —Unverified | 0 |
| Digging Errors in NMT: Evaluating and Understanding Model Errors from Partial Hypothesis Space | Jun 29, 2021 | Data AugmentationInductive Bias | —Unverified | 0 |
